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首页> 外文期刊>Brazilian Journal of Operations and Production Management >SCHEDULING OF AGENTS IN INBOUND MULTILINGUAL CALL CENTERS
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SCHEDULING OF AGENTS IN INBOUND MULTILINGUAL CALL CENTERS

机译:入站多语言呼叫中心中的代理商调度

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This paper presents an Integer Linear Programming model, which enables the scheduling of agents in call centers according to segmentation by skills, as well as the inclusion of labor law restrictions. The results from the experimental application of this method to situations involving real-time problems are presented, wherein the necessary shifts to meet forecasted demand are provided, in addition to an economically optimum combination of agents and skills, generating a solution, which is sufficient to maintain the desired level of service at the lowest cost possible. The approach proposed in this study presents an alternative worthy of consideration, since it is able to successfully incorporate the flexibility of call centers with skills-based routing in an easy-to-implement model that has proven to be effective in experiments conducted in on-the-job settings. Advances in information technology and telecommunications in recent years have increasingly heightened the presence of call centers in the day-to-day of companies and their customers. Call center management should endeavor to achieve a balance between technical performance and economic performance (labour costs, equipment, trunks and rates). It is estimated that 70% of the operating costs of call centers are currently related to labor costs. This paper provides research on how to significantly reduce personnel-related operational costs without negatively affecting the quality of the service.
机译:本文提出了一个整数线性规划模型,该模型能够根据技能细分以及包括劳动法限制在内的情况,在呼叫中心内安排座席。给出了该方法在涉及实时问题的情况下的实验应用结果,其中提供了必要的转变来满足预测的需求,此外还提供了经济上最佳的代理人和技能组合,从而产生了解决方案,以最低的成本保持所需的服务水平。本研究中提出的方法提出了另一种值得考虑的方法,因为它能够将呼叫中心的灵活性与基于技能的路由成功地整合到一个易于实施的模型中,该模型已被证明在现场实验中是有效的。工作设置。近年来,随着信息技术和电信的发展,在公司及其客户的日常工作中,呼叫中心的存在也日益增加。呼叫中心管理层应努力在技术性能和经济性能(人工成本,设备,干线和费率)之间取得平衡。据估计,呼叫中心目前有70%的运营成本与人工成本有关。本文提供了有关如何在不负面影响服务质量的前提下显着降低与人员相关的运营成本的研究。

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